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Some new methods for the comparison of two linear regression models

Some new methods for the comparison of two linear regression models
Some new methods for the comparison of two linear regression models
The frequently used approach to the comparison of two linear regression models is to use the partial F test. It is pointed out in this paper that the partial F test has in fact a naturally associated two-sided simultaneous confidence band, which is much more informative than the test itself. But this confidence band is over the entire range of all the covariates. As regression models are true or of interest often only over a restricted region of the covariates, the part of this confidence band outside this region is therefore useless and to ensure 1 - ? simultaneous coverage probability is therefore wasteful of resources. It is proposed that a narrower and hence more efficient confidence band over a restricted region of the covariates should be used. The critical constant required in the construction of this confidence band can be calculated by Monte Carlo simulation. While this two-sided confidence band is suitable for two-sided comparisons of two linear regression models, a more efficient one-sided confidence band can be constructed in a similar way if one is only interested in assessing whether the mean response of one regression model is higher (or lower) than that of the other in the region. The methodologies are illustrated with two examples.
M05/16
University of Southampton
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a
Jamshidian, Mortaza
7603871f-ac81-48e5-9c95-743cf0334557
Zhang, Ying
a1a5b530-992a-41b3-94d8-043590122036
Bretz, Frank
aa8a675f-f53f-4c50-8931-8e9b7febd9f0
Han, Xiaoliang
3c0b75be-4a3d-4f49-83e0-1ad90fecfecf
Liu, Wei
b64150aa-d935-4209-804d-24c1b97e024a
Jamshidian, Mortaza
7603871f-ac81-48e5-9c95-743cf0334557
Zhang, Ying
a1a5b530-992a-41b3-94d8-043590122036
Bretz, Frank
aa8a675f-f53f-4c50-8931-8e9b7febd9f0
Han, Xiaoliang
3c0b75be-4a3d-4f49-83e0-1ad90fecfecf

Liu, Wei, Jamshidian, Mortaza, Zhang, Ying, Bretz, Frank and Han, Xiaoliang (2005) Some new methods for the comparison of two linear regression models (Southampton Statistical Sciences Research Institute Methodology Working Paper, M05/16) University of Southampton

Record type: Monograph (Working Paper)

Abstract

The frequently used approach to the comparison of two linear regression models is to use the partial F test. It is pointed out in this paper that the partial F test has in fact a naturally associated two-sided simultaneous confidence band, which is much more informative than the test itself. But this confidence band is over the entire range of all the covariates. As regression models are true or of interest often only over a restricted region of the covariates, the part of this confidence band outside this region is therefore useless and to ensure 1 - ? simultaneous coverage probability is therefore wasteful of resources. It is proposed that a narrower and hence more efficient confidence band over a restricted region of the covariates should be used. The critical constant required in the construction of this confidence band can be calculated by Monte Carlo simulation. While this two-sided confidence band is suitable for two-sided comparisons of two linear regression models, a more efficient one-sided confidence band can be constructed in a similar way if one is only interested in assessing whether the mean response of one regression model is higher (or lower) than that of the other in the region. The methodologies are illustrated with two examples.

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Published date: 27 September 2005

Identifiers

Local EPrints ID: 17489
URI: http://eprints.soton.ac.uk/id/eprint/17489
PURE UUID: d4d326f4-a8f0-476d-aa8e-2cabfde8cdcb
ORCID for Wei Liu: ORCID iD orcid.org/0000-0002-4719-0345

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Date deposited: 05 Oct 2005
Last modified: 18 Mar 2024 02:38

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Contributors

Author: Wei Liu ORCID iD
Author: Mortaza Jamshidian
Author: Ying Zhang
Author: Frank Bretz
Author: Xiaoliang Han

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